Sharna D. Jamadar

This study investigates metabolic complexity in the human brain using PET and fMRI, finding that metabolic entropy correlates with network metastability and declines with age.

This paper compares brain metabolic connectivity methods using PET and fMRI data, finding that different approaches yield distinct topological, cognitive, structural, and genetic signatures, with fPET showing strongest cognitive associations and age-related declines.

The paper uses fPET and Granger causality to analyze directed metabolic connectivity in brain circuits, finding that metabolic connections predict cognition and affect, and vary in efficiency and functional benefit.

This study identifies four metabolic network states in the human brain and shows that cognitive performance depends on the ability to switch between them, with reduced flexibility in older adults.

This study characterizes human cerebral cortex metabolic connectivity using PET-FDG data, finding a superior-inferior gradient driven by low-frequency signals.

This study identifies four metabolic connectivity gradients in the human brain, linking metabolic activity, cortical structure, and cognitive function across the lifespan.

This study shows that variability in glucose metabolism, not just average rates, is linked to cognitive performance and metabolic network efficiency, with reduced variability in older adults associated with worse cognition.

This study evaluates filtering techniques for fPET data, finding that dNLM and MRI-MRF filters improve signal-to-noise ratio and test-retest reliability, with dNLM reducing sample size needs.

This study examines the association between parenthood and brain function in mid- to late-life, finding that higher parity is linked to increased functional connectivity and counteracts age-related declines.

This study compares metabolic and functional connectivity using fPET and fMRI to determine their predictive power for age and cognition, finding that metabolic connectivity is more predictive.

This study examines sex differences in the relationship between cerebral blood flow and glucose metabolism across age groups and finds that older females show stronger negative correlations, potentially indicating compensatory mechanisms.

The paper investigates how peripheral insulin resistance affects cerebral glucose metabolism and working memory in healthy adults, finding greater impacts in younger adults.

This study examines metabolic connectivity in ageing using high temporal resolution PET, finding reduced connectivity and altered topology in older adults linked to worse cognitive performance.

This study examines how insulin resistance and age affect cerebral blood flow and glucose metabolism coupling in adults, finding altered coupling patterns in insulin-resistant individuals.

This study uses resting-state fMRI and spDCM to show that postpartum mothers have disinhibited brain connectivity in key regions, suggesting more flexible and responsive behavior in caregiving and cognition.

This paper integrates seven multimodal brain connectivity profiles to uncover universal organizational principles and maps them onto brain structure and function.

This paper conducts a systematic review and meta-analyses of cerebral glucose metabolism in ageing, finding reduced metabolism in frontal and temporal regions.

This study investigates how hemodynamic and metabolic brain connectivity relate to cognitive function using simultaneous FDG-fPET/fMRI and partial least squares analyses, revealing distinct cognitive associations for each modality.

The paper introduces an open dataset comparing three FDG-fPET radiotracer administration protocols using simultaneous BOLD-fMRI scanning.

This paper improves the temporal resolution of functional PET by integrating anatomical MRI knowledge to reduce noise and partial volume errors in brain metabolism mapping.

This study uses simultaneous high-temporal resolution FDG-fPET and fMRI to compare metabolic and haemodynamic connectivity in the human brain, finding that metabolic connectivity is non-ergodic and differs from static FDG-PET covariance.

The paper shows that uncertainty affects prediction error minimization and agency judgments in the action-perception loop, with differences observed in autism traits.

This study examines how perceptual degradation of visual stimuli affects stop-signal performance in healthy adults, finding differential impacts on inhibition success but not reaction times.

This study investigates the relationship between motherhood and functional brain connectivity in older adults, finding that motherhood is associated with brain connectivity patterns opposite to age-related decline.

This study shows that individual differences in haemoglobin levels affect BOLD fMRI functional connectivity and its relationship with cognition, with sex-specific patterns observed.

The study challenges the CRUNCH model by showing older adults show greater fMRI activity than younger adults in visuospatial working memory, contrary to model predictions, and finds evidence of selective reporting in the literature.

This study compares independent component analysis (ICA) and general linear modelling (GLM) for analyzing task and resting state fPET data, showing both methods can identify task-related brain activation.

The paper compares continuous infusion and bolus plus infusion radiotracer protocols for PET to improve temporal resolution, achieving 16-second glucose response mapping in the human brain.

This study finds that the number of children parented correlates with cortical thickness and verbal memory in older adults, with distinct patterns in mothers and fathers.

This study combines simultaneous BOLD-fMRI and FDG-PET to measure task-evoked neuronal metabolism in the human visual cortex with high temporal resolution.